Listing Description
Who is DigitalOnUs by TechMahindra?
At DigitalOnUs by TechMahindra we not only provide Agile and DevOps methodologies to our customers, we have adopted the same within the company as well. Our nimble processes are not mired in red tape, yet robust, flexible and result-oriented. We are Software Engineers, Technical Architects, Cloud and DevOps specialists. But the most important, we are dreamers, creators and challengers. Each day, we strive to make great come alive. Our lemma: “work smart and play hard”
Our technology partners are Hashicorp, Cloudbees, Chef, Pagerduty, Docker, SAP and Google Cloud.
We are always looking for the brightest candidates to come and we offer a work environment with everything you need to be your best. Does Ambition, Success, Fun, Friends & Learning define your idea of a career? Join us and be part of our family!
We’re looking for: Azure Data Factory Developer
Job Description:
Required Skills:
• Minimum of bachelor’s degree and 4-8+ years of work experience with a focus on
data platforms, data architecture and engineering and analytics in a data engineering,
business intelligence, or technical data role supporting Marketing organizations.
• Strong Experience working on data model design, data logging, and data validation.
• Experience in building data pipelines, data wrangling, transformations, and consumptions
• Strong working ability in defining data quality and master data rules for matching, merging and de-duplicating data.
• Strong business intuition and ability to understand complex business systems, data architecture, and software design patterns.
• Excellent communication skills, particularly when explaining technical matters to less technical coworkers.
• Strong problem solving and creative-thinking skills.
• Ability to break down and communicate highly complex data problems as simple, feasible solutions.
• Ability to communicate technical concepts to non-technical audiences.
• Ability to translate business requirements into technical specs for developers.
• Expertise to Implementing Data warehousing Solutions
• Expertise MS-Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) Mandatory
• Some understanding of other Azure services like Azure Data Lake Analytics & USQL, Azure SQL DW
• Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale
• Strong understanding of ADF orchestration concepts and experience creating data frames from variety of sources. Experience writing PowerShell or another comparable scripting language
• Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment
• Good Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts
• Ability to use word to create required technical documentation like solutions design, architecture and design diagrams, detailed comments in code base
• Guide other developers and project team to manage team development tasks, manage dependencies, own technical issues log and resolve open items in a timely manner.
• Minimum of bachelor’s degree and 4-8+ years of work experience with a focus on
data platforms, data architecture and engineering and analytics in a data engineering,
business intelligence, or technical data role supporting Marketing organizations.
• Strong Experience working on data model design, data logging, and data validation.
• Experience in building data pipelines, data wrangling, transformations, and consumptions
• Strong working ability in defining data quality and master data rules for matching, merging and de-duplicating data.
• Strong business intuition and ability to understand complex business systems, data architecture, and software design patterns.
• Excellent communication skills, particularly when explaining technical matters to less technical coworkers.
• Strong problem solving and creative-thinking skills.
• Ability to break down and communicate highly complex data problems as simple, feasible solutions.
• Ability to communicate technical concepts to non-technical audiences.
• Ability to translate business requirements into technical specs for developers.
• Expertise to Implementing Data warehousing Solutions
• Expertise MS-Azure stack (Azure Data Lake, Azure Data Factory, Azure Databricks) Mandatory
• Some understanding of other Azure services like Azure Data Lake Analytics & USQL, Azure SQL DW
• Good understanding of Azure Databricks platform and can build data analytics solutions to support the required performance & scale
• Strong understanding of ADF orchestration concepts and experience creating data frames from variety of sources. Experience writing PowerShell or another comparable scripting language
• Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment
• Good Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts
• Ability to use word to create required technical documentation like solutions design, architecture and design diagrams, detailed comments in code base
• Guide other developers and project team to manage team development tasks, manage dependencies, own technical issues log and resolve open items in a timely manner.
What you can expect from us
At DigitalOnUs by techmahindra what distinguishes us from other teams is the comfortable environment which engenders trust within teams and with our customers. Trust and openness leads to quality, innovation, commitment to deliverables, efficiency and cost-effectiveness for all our customers.
Work with some truly remarkable IT engineers, architects, specialists and more.
We’re growing at a phenomenal pace and we’d like some company.
Hear your voice, nurture your talent and help you strengthen your foot print!
Benefits above the law
Mentorship, and opportunities to grow and learn.
Listing Details
- Citizenship: Not Provided
- Incentives: Not Provided
- Education: Not Provided
- Travel: Not Provided
- Telework: Not Provided